Automated Weapon System Neural Network Barrel Positioning
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Solution Overview
Problem
Traditional human transported weapons rely heavily on the skill and training of the operator, leading to inaccuracies and a high miss rate, especially in adverse environmental conditions, which increases the burden of munitions supply and selection, often requiring large amounts of ammunition and time-consuming processes.
Innovation Solution
An automated weapon system comprising a barrel, targeting subsystem, computational subsystem, and positioning subsystem, which identifies and adjusts aim to compensate for environmental factors and operator errors, allowing for accurate targeting and munitions selection, even for minimally trained users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional human transported weapons are used, then the weapon can be operated with simple equipment, but the accuracy is limited by operator skill and environmental factors
Solution Approach 1:
A computational subsystem acts as an intermediary between the operator and the weapon firing system. This subsystem receives input from sensors detecting target position, environmental conditions (wind, temperature, humidity), and weapon status, then processes this information through algorithms to calculate optimal firing parameters and compensate for various error sources, thereby achieving high accuracy without requiring the operator to have expert skill levels.
Solution Approach 2:
The patent replaces manual mechanical aiming and calculation processes with an automated computational system. Instead of relying on the operator's physical skill to aim and calculate firing parameters, the system uses sensors, processors, and algorithms to automatically determine the correct firing solution, substituting mechanical human capability with an electronic-computational system.
2Measurement precision
If extensive training is provided to improve marksanship, then accuracy improves, but training time and resource costs increase
Solution Approach 1:
The weapon system performs the function of expert marksman training by incorporating a computational subsystem that automatically compensates for errors in aiming, environmental factors, and other variables. This allows any operator, regardless of training level, to achieve expert-level accuracy by relying on the system's automated compensation mechanisms rather than personal skill development.
3Reliability
If large supply of munitions is carried to compensate for miss rate, then target engagement capability is maintained, but weight and cost burden increase
Solution Approach 1:
The system incorporates feedback mechanisms including sensors that detect target position, environmental conditions, and weapon performance. This feedback is processed by the computational subsystem to continuously optimize firing solutions and compensate for deviations, thereby increasing hit probability and reducing the number of rounds needed to engage targets successfully.
4Adaptability or versatility
If manual target and munitions selection is performed, then the warfighter can make informed decisions, but the process is time-consuming
Solution Approach 1:
The patent replaces manual target and munitions selection processes with automated computational systems. Sensors detect and classify targets, the computational subsystem analyzes environmental factors and weapon capabilities, and the system automatically selects the most appropriate target and munition type, eliminating the time-consuming manual decision-making process while maintaining or enhancing selection quality.
Data Source
AI summary
A human transported weapons system is comprised of a barrel, a targeting subsystem, a computational subsystem, positioning means, and, a firing subsystem. The barrel is movably mounted within a stock for propelling a projectile towards an area of sighting. The targeting subsystem identifies a chosen target in the area of sighting and locking onto the chosen target at a first time. The computational subsystem, responsive to the targeting subsystem, determines where the chosen target is, and determines where the projectile needs to be aimed to strike the chosen target at a firing time. The positioning means, adjusts the position of the barrel within the stock, responsive to the computational subsystem. The firing subsystem, activates firing at the firing time to propel the projectile through the barrel at the chosen target at the firing time. The locking onto the target can be either: responsive to target selection by the person; or,responsive to determining which of the targets in the area of sighting is a best shot of the available targets.